AI @ CSX

Ongoing research and applications include advanced AI for railroad trespassing detection analyzing thousands of hours of footage, edge AI for bridge impact detection, and safety improvements integrating AI with sensors and camera technologies.

• ScienceDirect: Artificial Intelligence-Aided Railroad Trespassing Detection
• MDPI: Edge Integration of AI into Wireless Smart Sensors for Railroad Bridges
• Wi-Tronix: Using AI-Powered Camera Technology to Improve Railroad Safety

CSX deployed Microsoft Azure cloud and AI solutions to transform rail operations, launching 'Chessie,' a generative AI assistant integrated into the ShipCSX portal, achieving over 1,000 customer engagements in 45 days and significantly enhancing freight tracking and shipment management.

• Microsoft: CSX Transforms Operations Using Microsoft Azure and AI
• Microsoft: CSX Boosts Supply Chain Agility Using Microsoft Copilot

Multiple initiatives highlighted: UNM's research on neuromorphic sensors for rail maintenance, BNSF's AI efforts for maintenance and yard checks, and growing recognition of generative AI's value in freight railroads.

• UNM News: Right on Track: Researchers Use New Tech to Improve Railroad Safety
• BNSF: Eyes on AI: BNSF Innovates to Better Serve Our Customers
• CBS42: The Value of Adopting Generative AI in the Freight Railroad Industry
• Everest Railcar Services: The Rails Ahead: How AI is Revolutionizing the Railroad Industry

Railroads ramped up AI use in transportation planning and operational adjustments to meet dynamic demands, demonstrating increased AI integration into logistics.

• Trains: Railroads Ramp Up the Use of Artificial Intelligence

Wi-Tronix deployed AI-powered camera tech to detect hazards and improve railroad safety, alongside government research on AI intruder detection systems.

• Wi-Tronix: Using AI-Powered Camera Technology to Improve Railroad Safety
• Federal Railroad Administration: Railroad Artificial Intelligence Intruder Learning System (RAIILS)

Federal Railroad Administration published research on building a railroad trespassing database using AI from a Rutgers-led project, reinforcing safety initiatives.

• Federal Railroad Administration: Development of Railroad Trespassing Database Using Artificial Intelligence

CSX introduced an AI-powered chatbot to streamline real estate inquiries, enhancing customer engagement and self-service capabilities, alongside growing industry reflections on AI for railway operations efficiency.

• CSX: CSX Introduces ChatBot to Streamline Real Estate Inquiries
• McKinsey: The Journey Toward AI-Enabled Railway Companies

Industry-wide discussions on AI's concept and subset machine learning highlighted its growing adoption in transportation, underscoring technological awareness in railroads.

• Union Pacific: The Advent of AI in the Transportation Industry

Rutgers researchers developed an AI-aided railroad trespassing detection tool to enhance safety and reduce fatalities at crossings.

• Rutgers University: Rutgers Researchers Create Artificial Intelligence-Aided Railroad Trespassing Detection Tool

The rail industry, including CSX, began experiencing AI-driven transformation impacting workforce roles through automation, AI, and robotics.

• APUEdge: US Railroad Workers Are Affected by Industry's New Technology

CSX initiated AI adoption with IoT-enabled machine learning to analyze train delays, creating a train delay index for better operational cost insights.

• Logistics Viewpoints: CSX's IoT Enabled Machine Learning Journey